and (ii) the average silhouette [1]}, which is an internal evaluation measure for the K-means clustering algorithm
\(f_{U1}(c) = s(e) = \frac{b(e) - a(e)}{max\lbrace a(e), b(e)\rbrace }, -1 \le s(e) \le 1,\) 
